Abstract
Hypotheses of research disciplines are typically not isolated from each other but share similarities. In a broad sense as defined here, they form an important part of the theoretical-conceptual understanding of a given topic, e.g. invasion hypotheses sensu lato represent an important part of our understanding of biological invasions. Dynamic research disciplines such as invasion biology have so many hypotheses that it is even hard for experts to keep track, and researchers from other disciplines as well as policy-makers, managers and other interested people find it extremely complicated to get to grips with invasion hypotheses. To tackle this situation, we argue that it is useful to define key hypotheses and visualize their relationships. We define 35 of the arguably most common invasion hypotheses and outline three approaches to create hypothesis networks that visualize the similarities and dissimilarities between hypotheses: (i) the bibliometric approach; (ii) the survey approach; and (iii) the matrix approach. The latter approach is in the focus of this chapter. It is centred around a matrix that represents the characteristics or traits of each hypothesis. Here we assigned such traits to 35 invasion hypotheses based on 13 trait categories. We then calculated the similarities between them and created a hypothesis network visualizing these similarities. With the same trait matrix, we created a smaller network focused on the 12 hypotheses featured in this book. This network thus illustrates the relationships between these 12 hypotheses and can be used as a map for the following chapters.
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Published In
Pages: 49 - 59
Editors: J. M. Jeschke [email protected], Institute of Biology Freie Universitat Berlin Königin-Luise-Str. 1-3 14195 Berlin Germany and T. Heger
ISBN (ePDF): 978-1-78064-765-4
ISBN (ePub): 978-1-78064-766-1
ISBN (Hardback): 978-1-78064-764-7
ISBN (Paperback): 978-1-80062-161-9
History
Cover date: 2018
Published online: 25 April 2018
Language
English
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Citing Literature
- Tina Heger, Jonathan M. Jeschke, Catherine Febria, Johannes Kollmann, Stephen Murphy, Line Rochefort, Nancy Shackelford, Vicky M. Temperton, Eric Higgs, Mapping and assessing the knowledge base of ecological restoration, Restoration Ecology, 10.1111/rec.13676, 32, 8, (2022).
- Cang Hui, David Richardson, Relentless Evolution, Invading Ecological Networks, 10.1017/9781108778374.003, (50-108), (2022).
- Tina Heger, What are ecological mechanisms? Suggestions for a fine-grained description of causal mechanisms in invasion ecology, Biology & Philosophy, 10.1007/s10539-022-09838-1, 37, 2, (2022).
- Martin Enders, Frank Havemann, Florian Ruland, Maud Bernard‐Verdier, Jane A. Catford, Lorena Gómez‐Aparicio, Sylvia Haider, Tina Heger, Christoph Kueffer, Ingolf Kühn, Laura A. Meyerson, Camille Musseau, Ana Novoa, Anthony Ricciardi, Alban Sagouis, Conrad Schittko, David L. Strayer, Montserrat Vilà, Franz Essl, Philip E. Hulme, Mark van Kleunen, Sabrina Kumschick, Julie L. Lockwood, Abigail L. Mabey, Melodie A. McGeoch, Estíbaliz Palma, Petr Pyšek, Wolf‐Christian Saul, Florencia A. Yannelli, Jonathan M. Jeschke, A conceptual map of invasion biology: Integrating hypotheses into a consensus network, Global Ecology and Biogeography, 10.1111/geb.13082, 29, 6, (978-991), (2020).
- Martin Enders, Frank Havemann, Jonathan M. Jeschke, A citation-based map of concepts in invasion biology, NeoBiota, 10.3897/neobiota.47.32608, 47, (23-42), (2019).
- Martin Enders, Marc‐Thorsten Hütt, Jonathan M. Jeschke, Drawing a map of invasion biology based on a network of hypotheses, Ecosphere, 10.1002/ecs2.2146, 9, 3, (2018).
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